Africa, Middle East and India

Enjoy an overnight stay on the estate, with easy access to tours, activities, and more.

Navigate incredible off-road obstacles, regardless of your skill level, with the Land Rover® Experience. Your experienced instructor and the tremendously capable family of Land Rover® vehicles make this a day to remember. Advance reservations are required. Call us for details and reservations.

Whether this is your first time off-road or you have advanced experience,courses expose you to elements and terrain to increase your off-road knowledge and ability. Experiences cover the basics of expedition-style driving and are customized to fit your skill and comfort level. Off-road obstacles such as steep ascents, descents, side tilts, log crossings, and rock crawls offer an exciting and memorable off-road adventure. Up to three participants may ride in each vehicle.

Once you have completed an experience, try your new skills on more difficult terrain. The estate boasts thousands of acres of beautiful hills full of wildlife, wooded trails, and other real-world obstacles to explore. Trails will increase your skill level and introduce more advanced driving techniques. Courses can be customized to cover specific techniques, such as winching, expedition planning, and navigation. Up to three participants may ride in each vehicle.

Two-Hour Trail Cost: $425 per vehicle

A truly customizable experience. Whether it’s your first time out or you’re looking to hone your off-road skills, the Full-Day Experience provides the most flexible and individualized adventure. Beginon set terrain that covers ditch crossings, log crossings, side tilts, and vehicle controls while gradually moving into more advanced trails such as steep hill climbs, rocky descents, and rugged traverses. Each Full-Day Experience includes a picnic lunch and two Land Rover® Experiencegifts, along with a framed certification of completion that proves your mettle to your friends. Call to reserve. Six-Hour Trail Cost (Maximum Three Drivers): $1,200 per vehicle

Join a professional Land Rover Experience Instructor for one-on-one coaching as you pilot three distinctive Land Rover models: the Defender, Range Rover, and Discovery. Your half-day or full-day experience begins with the iconic Defender—last imported into the U.S. in 1997—and includes a brief history, a walk-around, and the rare opportunity to put this rugged 4x4 through its paces! Enjoy multiple photo opportunities with each vehicle as you navigate the challenging off-road trails that traverse the estate. Both half-day and full-day experiences include Land Rover Experiencegifts. Full-day experience includes picnic lunch. Call to reserve.

The
residplot()
function can be a useful tool for checking whether the simple regression model is appropriate for a dataset. It fits and removes a simple linear regression and then plots the residual values for each observation. Ideally, these values should be randomly scattered around
y
=
0
:

If there is structure in the residuals, it suggests that simple linear regression is not appropriate:

The plots above show many ways to explore the relationship between a pair of variables. Often, however, a more interesting question is “how does the relationship between these two variables change as a function of a third variable?” This is where the difference between
regplot()
and
lmplot()
appears. While
regplot()
always shows a single relationship,
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combines
regplot()
with
FacetGrid
to provide an easy interface to show a linear regression on “faceted” plots that allow you to explore interactions with up to three additional categorical variables.

The best way to separate out a relationship is to plot both levels on the same axes and to use color to distinguish them:

In addition to color, it’s possible to use different scatterplot markers to make plots the reproduce to black and white better. You also have full control over the colors used:

To add another variable, you can draw multiple “facets” which each level of the variable appearing in the rows or columns of the grid:

Before we noted that the default plots made by
regplot()
and
lmplot()
look the same but on axes that have a different size and shape. This is because
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is an “axes-level” function draws onto a specific axes. This means that you can make multi-panel figures yourself and control exactly where the regression plot goes. If no axes object is explictly provided, it simply uses the “currently active” axes, which is why the default plot has the same size and shape as most other matplotlib functions. To control the size, you need to create a figure object yourself.